20.Cnf-9 Paper View Page |
Title |
A two stages diagnosis method with fuzzy logic and neuronal networks |
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Authors |
Dr. Yahia Kourd, University of Biskra, Biskra, Algeria Prof. Noureddine Guersi, Université Badji Mokhtar de Annaba, Annaba, Algeria Prof. Dimitri Lefebvre, Université Le Havre Normandie, Normandy, France
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Abstract |
The failures auto-sensing becomes increasingly essential in the complex systems exploitation. This article consists in working out a system of defects diagnosis based on an artificial intelligence technique which associates fuzzy logic with neural networks. The method is applied to obtain the DAMADICS (Development and Application of Methods for Actuator Diagnosis in Industrial Control Systems). This technique with its capacities of generalization and memorizing gives effective diagnostic tools. In the first part of this work, we studied the modelling of this industrial actuator, simulation gives an idea of the actuator behaviour in a normal mode functioning. Then, we carried out the diagnosis of defects during abnormal operations by using a neuro-fuzzy classifier. |
Track |
SPA: Signal Processing and Applications |
Conference |
1st Mosharaka International Conference on Communications and Signal Processing (MIC-CSP 2011) |
Congress |
2011 Global Congress on Communications and Signal Processing (GC-CSP 2011), 2-4 April 2011, Dubai, UAE |
Pages |
1-5 |
Topics |
Adaptive Control Systems Variable Structure Control |
ISSN |
2227-331X |
DOI |
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BibTeX |
@inproceedings{9CSP2011,
title={A two stages diagnosis method with fuzzy logic and neuronal networks},
author={Yahia Kourd, and Noureddine Guersi, and Dimitri Lefebvre},
booktitle={2011 Global Congress on Communications and Signal Processing (GC-CSP 2011)},
year={2011},
pages={1-5},
doi={}},
organization={Mosharaka for Research and Studies}
}
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Paper Views |
60 |
Paper Views Rank |
109/524 |
Paper Downloads |
30 |
Paper Downloads Rank |
177/524 |
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